Regional brain morphometry in patients with traumatic brain injury based on acute- and chronic-phase magnetic resonance imaging

Christian Ledig, Konstantinos Kamnitsas, Juha Koikkalainen, Jussi P. Posti, Riikka S.K. Takala, Ari Katila, Janek Frantzén, Henna Ala-Seppälä, Anna Kyllönen, Henna Riikka Maanpää, Jussi Tallus, Jyrki Lötjönen, Ben Glocker, Olli Tenovuo, Daniel Rueckert

Research output: Contribution to journalArticleScientificpeer-review

2 Citations (Scopus)

Abstract

Traumatic brain injury (TBI) is caused by a sudden external force and can be very heterogeneous in its manifestation. In this work, we analyse T1-weighted magnetic resonance (MR) brain images that were prospectively acquired from patients who sustained mild to severe TBI. We investigate the potential of a recently proposed automatic segmentation method to support the outcome prediction of TBI. Specifically, we extract meaningful cross-sectional and longitudinal measurements from acute- and chronic-phase MR images. We calculate regional volume and asymmetry features at the acute/subacute stage of the injury (median: 19 days after injury), to predict the disability outcome of 67 patients at the chronic disease stage (median: 229 days after injury). Our results indicate that small structural volumes in the acute stage (e.g. of the hippocampus, accumbens, amygdala) can be strong predictors for unfavourable disease outcome. Further, group differences in atrophy are investigated. We find that patients with unfavourable outcome show increased atrophy. Among patients with severe disability outcome we observed a significantly higher mean reduction of cerebral white matter (3.1%) as compared to patients with low disability outcome (0.7%).

Original languageEnglish
Article numbere0188152
JournalPLoS ONE
Volume12
Issue number11
DOIs
Publication statusPublished - 1 Nov 2017
MoE publication typeA1 Journal article-refereed

Fingerprint

Magnetic resonance
morphometry
magnetic resonance imaging
Brain
Magnetic Resonance Imaging
brain
Imaging techniques
atrophy
Atrophy
Wounds and Injuries
Magnetic Resonance Spectroscopy
amygdala
hippocampus
Amygdala
chronic diseases
Hippocampus
Chronic Disease
Traumatic Brain Injury
prediction
extracts

Keywords

  • Adolescent
  • Adult
  • Aged
  • Aged, 80 and over
  • Brain Injuries, Traumatic/diagnostic imaging
  • Cross-Sectional Studies
  • Female
  • Humans
  • Longitudinal Studies
  • Magnetic Resonance Imaging/methods
  • Male
  • Middle Aged
  • Young Adult

Cite this

Ledig, C., Kamnitsas, K., Koikkalainen, J., Posti, J. P., Takala, R. S. K., Katila, A., ... Rueckert, D. (2017). Regional brain morphometry in patients with traumatic brain injury based on acute- and chronic-phase magnetic resonance imaging. PLoS ONE, 12(11), [e0188152]. https://doi.org/10.1371/journal.pone.0188152
Ledig, Christian ; Kamnitsas, Konstantinos ; Koikkalainen, Juha ; Posti, Jussi P. ; Takala, Riikka S.K. ; Katila, Ari ; Frantzén, Janek ; Ala-Seppälä, Henna ; Kyllönen, Anna ; Maanpää, Henna Riikka ; Tallus, Jussi ; Lötjönen, Jyrki ; Glocker, Ben ; Tenovuo, Olli ; Rueckert, Daniel. / Regional brain morphometry in patients with traumatic brain injury based on acute- and chronic-phase magnetic resonance imaging. In: PLoS ONE. 2017 ; Vol. 12, No. 11.
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abstract = "Traumatic brain injury (TBI) is caused by a sudden external force and can be very heterogeneous in its manifestation. In this work, we analyse T1-weighted magnetic resonance (MR) brain images that were prospectively acquired from patients who sustained mild to severe TBI. We investigate the potential of a recently proposed automatic segmentation method to support the outcome prediction of TBI. Specifically, we extract meaningful cross-sectional and longitudinal measurements from acute- and chronic-phase MR images. We calculate regional volume and asymmetry features at the acute/subacute stage of the injury (median: 19 days after injury), to predict the disability outcome of 67 patients at the chronic disease stage (median: 229 days after injury). Our results indicate that small structural volumes in the acute stage (e.g. of the hippocampus, accumbens, amygdala) can be strong predictors for unfavourable disease outcome. Further, group differences in atrophy are investigated. We find that patients with unfavourable outcome show increased atrophy. Among patients with severe disability outcome we observed a significantly higher mean reduction of cerebral white matter (3.1{\%}) as compared to patients with low disability outcome (0.7{\%}).",
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Ledig, C, Kamnitsas, K, Koikkalainen, J, Posti, JP, Takala, RSK, Katila, A, Frantzén, J, Ala-Seppälä, H, Kyllönen, A, Maanpää, HR, Tallus, J, Lötjönen, J, Glocker, B, Tenovuo, O & Rueckert, D 2017, 'Regional brain morphometry in patients with traumatic brain injury based on acute- and chronic-phase magnetic resonance imaging', PLoS ONE, vol. 12, no. 11, e0188152. https://doi.org/10.1371/journal.pone.0188152

Regional brain morphometry in patients with traumatic brain injury based on acute- and chronic-phase magnetic resonance imaging. / Ledig, Christian; Kamnitsas, Konstantinos; Koikkalainen, Juha; Posti, Jussi P.; Takala, Riikka S.K.; Katila, Ari; Frantzén, Janek; Ala-Seppälä, Henna; Kyllönen, Anna; Maanpää, Henna Riikka; Tallus, Jussi; Lötjönen, Jyrki; Glocker, Ben; Tenovuo, Olli; Rueckert, Daniel.

In: PLoS ONE, Vol. 12, No. 11, e0188152, 01.11.2017.

Research output: Contribution to journalArticleScientificpeer-review

TY - JOUR

T1 - Regional brain morphometry in patients with traumatic brain injury based on acute- and chronic-phase magnetic resonance imaging

AU - Ledig, Christian

AU - Kamnitsas, Konstantinos

AU - Koikkalainen, Juha

AU - Posti, Jussi P.

AU - Takala, Riikka S.K.

AU - Katila, Ari

AU - Frantzén, Janek

AU - Ala-Seppälä, Henna

AU - Kyllönen, Anna

AU - Maanpää, Henna Riikka

AU - Tallus, Jussi

AU - Lötjönen, Jyrki

AU - Glocker, Ben

AU - Tenovuo, Olli

AU - Rueckert, Daniel

PY - 2017/11/1

Y1 - 2017/11/1

N2 - Traumatic brain injury (TBI) is caused by a sudden external force and can be very heterogeneous in its manifestation. In this work, we analyse T1-weighted magnetic resonance (MR) brain images that were prospectively acquired from patients who sustained mild to severe TBI. We investigate the potential of a recently proposed automatic segmentation method to support the outcome prediction of TBI. Specifically, we extract meaningful cross-sectional and longitudinal measurements from acute- and chronic-phase MR images. We calculate regional volume and asymmetry features at the acute/subacute stage of the injury (median: 19 days after injury), to predict the disability outcome of 67 patients at the chronic disease stage (median: 229 days after injury). Our results indicate that small structural volumes in the acute stage (e.g. of the hippocampus, accumbens, amygdala) can be strong predictors for unfavourable disease outcome. Further, group differences in atrophy are investigated. We find that patients with unfavourable outcome show increased atrophy. Among patients with severe disability outcome we observed a significantly higher mean reduction of cerebral white matter (3.1%) as compared to patients with low disability outcome (0.7%).

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KW - Adolescent

KW - Adult

KW - Aged

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KW - Brain Injuries, Traumatic/diagnostic imaging

KW - Cross-Sectional Studies

KW - Female

KW - Humans

KW - Longitudinal Studies

KW - Magnetic Resonance Imaging/methods

KW - Male

KW - Middle Aged

KW - Young Adult

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